Aerospace Clusters: Local or Global Knowledge Spillovers?

The literature about regional innovation systems, clusters and industrial districts insists on the importance of local knowledge spillovers. Nevertheless, more recently a few authors have put in question the importance of local knowledge spillovers. This paper provides an analysis of some of the most dynamic aerospace clusters in the world, located in Montreal, Seattle, Toulouse and Toronto. We start by discussing theories of clustering, then provide research questions as well as empirical evidence on the international nature of knowledge spillovers. Local knowledge spillovers are less significant, of a different nature, and they may make a scanty contribution to explain the geographical agglomeration of firms. Conversely, international spillovers help to explain the relative dispersion of industry across nations. Resilient geographical clustering is related to the anchor tenant effects as creators of labour pools and owners of very large manufacturing plants creating regional inertia. We thus reject the local knowledge spillover explanation of aerospace clusters in favour of another one based on anchor firms and their effects on the local labour pool.     

Innovation Performance and International Knowledge Spillovers: Evidence from the Renewable Energy Sector in OECD Countries

This paper aims at evaluating the sources of differences among countries' innovative performances in the renewable energy (RE) sector. Namely, we focus on the national innovative capacity, the knowledge developed abroad and the related knowledge spillovers. We claim that a country is more likely to develop RE innovation: (i) the larger the knowledge stocks of other countries in the same sector; (ii) especially when those other countries share established linkages with the focal country. Relying on a knowledge production function, we model country-level innovative performances in the RE sector for 18 OECD countries in the period 1990–2006. Our findings confirm that, once controlling for climate-energy policies, international knowledge spillovers contribute significantly to RE innovation, and their effect is comparable with domestic R&D and human capital. In addition, international spillovers are more likely if countries share stronger linkages.     

Local Nodes in Global Networks: The Geography of Knowledge Flows in Biotechnology Innovation

The literature on innovation and interactive learning has tended to emphasize the importance of local networks, inter-firm collaboration and knowledge flows as the principal source of technological dynamism. More recently, however, this view has come to be challenged by other perspectives that argue for the importance of non-local knowledge flows. According to this alternative approach, truly dynamic economic regions are characterized both by dense local social interaction and knowledge circulation, as well as strong inter-regional and international connections to outside knowledge sources and partners. This paper offers an empirical examination of these issues by examining the geography of knowledge flows associated with innovation in biotechnology. We begin by reviewing the growing literature on the nature and geography of innovation in biotechnology research and the commercialization process. Then, focusing on the Canadian biotech industry, we examine the determinants of innovation (measured through patenting activity), paying particular attention to internal resources and capabilities of the firm, as well as local and global flows of knowledge and capital. Our study is based on the analysis of Statistics Canada's 1999 Survey of Biotechnology Use and Development, which covers 358 core biotechnology firms. Our findings highlight the importance of in-house technological capability and absorptive capacity as determinants of successful innovation in biotechnology firms. Furthermore, our results document the precise ways in which knowledge circulates, in both embodied and disembodied forms, both locally and globally. We also highlight the role of formal intellectual property transactions (domestic and international) in promoting knowledge flows. Although we document the importance of global networks in our findings, our results also reveal the value of local networks and specific forms of embedding. Local relational linkages are especially important when raising capital—and the expertise that comes with it—to support innovation. Nevertheless, our empirical results raise some troubling questions about the alleged pre-eminence of the local in fostering innovation.     

What motivates ‘free’ revealing? Measuring outbound non-pecuniary openness,innovation types and expectations of future profit growth

Open innovation (OI) refers to the inbound and outbound flows of knowledge beyond the boundary of the organization, which can be in the form of pecuniary or non-pecuniary exchanges. Investigation into pecuniary and inbound innovation types has advanced rapidly, but non-pecuniary outbound OI (free revealing) has received less attention. Presenting a scale developed through a systematic literature review, expert testing and exploratory factor analysis, we show that revealing is reflected by five motivational factors, namely seeking complementary capabilities, product diffusion, strategic spillovers, product enhancement, and co-creation with firms. Regression models show that these factors influence the variety of innovation types and shareholder expectations of value capture through future returns.

     

Agglomeration and innovation of knowledge intensive business services

ABSTRACT

For some time now, the research focusing on Knowledge Intensive Business Services (KIBS) has been very active. Observing that knowledge as a production factor is only becoming more and more pronounced, this focus is well-grounded. It is therefore important to examine how these knowledge-hubs gain and propagate their knowledge. We hypothesize that KIBS (as many other sectors) benefit from intra-industry knowledge spillovers facilitated by geographical concentration. Our focus is the innovative capacity of KIBS, which we measure through trademarks registered by KIBS firms. While there may be several mechanisms facilitating knowledge spillovers, we can identify local intra-sectoral labor mobility as one. Accessibility measures are used to assess the geographical attenuation of the spillover effects. Results show that the distance decay of spillovers is fast. Only local concentrations of KIBS seem to be of importance. Over longer distances, we instead observe negative consequences for trademarking, indicating possible spatial competition effects.     

Bridging Knowledge Gaps: Returnees and Reverse Knowledge Spillovers from Chinese Local Firms to Foreign Firms

Adopting a knowledge-based perspective and embeddedness theory, this study examines the impact of reverse knowledge spillovers from local Chinese firms to foreign firms using a sample of high-tech firms in Zhongguancun Science Park in China. It also investigates whether returnees in foreign firms help bridge knowledge gaps between local firms and foreign firms. The results show that the presence of returnee CEOs and returnee employees enhances the impact of reverse technological and marketing spillovers on the innovation and financial performance of foreign firms. The findings call for more studies on the social dimensions of knowledge spillovers across international boundaries and have important theoretical and practical implications.     

Business Group Affiliation and R&D

This paper analyzes whether belonging to a business group enhances firms' propensity for and intensity of R&D based on the greater opportunities to finance and co-ordinate R&D strategies and internalize knowledge spillovers. Compared with the existing literature, this paper has the following novelties: (a) it examines how the organization and diversification of business groups influence the R&D investment of affiliated firms; (b) it analyzes the role of R&D spillovers among affiliated firms; and (c) it distinguishes between propensity for and intensity of R&D. We find that less diversified groups are more likely to centralize R&D, while in more diversified groups firms are more likely to be autonomous. We find that controlled companies are more likely to benefit from knowledge spillovers than firms at the head of the group. Finally, we find that R&D autonomy is significantly associated with both a higher propensity for and intensity of R&D in controlled companies.     

Winning combinations: search strategies and innovativeness in the UK

Searching for the most rewarding sources of innovative ideas remains a key challenge in management of technological innovation. Yet, little is known about which combinations of internal and external knowledge sources are triggers for innovation. Extending theories about searching for innovation, we examine the effectiveness of different combinations of knowledge sources for achieving innovative performance. We suggest that combinations involving integrative search strategies – combining internal and external knowledge – are the most likely to generate product and process innovation. In this context, we present the idea that cognitively distant knowledge sources are helpful for innovation only when used in conjunction with knowledge sources that are closer to the focal firm. We also find important differences between product and process innovation, with the former associated with broader searches than the latter. Using a large-scale pooled sample of UK firms, we find overall support for our conjectures, particularly in terms of product innovation.     

I'll Find it Where I Can: Exploring the Role of Resource and Financial Constraints in Search Behaviour among Innovators

The search for new knowledge is often driven by problems that firms face in their innovative activities. Although a considerable effort has been made to explore the search for innovation, little attention has been placed on the concept of problemistic search. Indeed, there are only few studies that examine how the challenges that firms face in their innovation processes shape the nature and direction of their search activities. Using the Finnish Innovation Survey, this study explores the impact of different types of problems on the use of internal and external knowledge sources. The results show that firms under resource constraints tend to use external sources of knowledge in their search activities rather than internal ones. However, those firms who are constrained by finance tend to search both internally and externally. The paper explores the implications of these results for theory and future empirical research.     

Identifying dynamic knowledge flow patterns of business method patents with a hidden Markov model

As an alternative to the conventional R&D innovation, business models are becoming an important locus of lucrative innovation. Due to the rise of the internet economy, business model innovation today often involves technological innovation, and this can be evidenced by business method (BM) patents. Of several mechanisms that stimulate business model innovation, the role of BM patents is probably most noteworthy. To understand how BM patents play their roles in business model innovation, we need to observe the long-term knowledge flow process. Therefore, we aim to identify dynamic patterns of knowledge flows driven by BM patents using a hidden Markov model (HMM) and patent citation data as an input. An HMM is a popular statistical tool for modelling a wide range of time series data. Since it does not have any general theoretical limit in regard to statistical pattern classification, an HMM is capable of characterizing various temporal patterns. A case study is conducted with the BM patents in 16 USPTO subclasses related to secure transactions. After patterns of the individual subclasses are generated, they are grouped into four major patterns through clustering analysis and their characteristics are closely examined. Our analysis reveals that the BM patents for secure transaction in general play increasingly important roles in advancement of business models, facilitating the transfer of knowledge, and thus can provide valuable insights in formulating more effective strategies or policies for business model innovation.     

The influence of different knowledge workers on innovation strategy and product development performance in small and medium-sized enterprises

Despite significant interest on the topic of knowledge workers, the understanding of how they influence certain aspects of firm innovativeness remains limited. In particular, while different types of knowledge workers exist, their particular synergistic effects on new and improved product development within smaller firms has received less attention. Drawing on the knowledge-based view (KBV), we posit that innovation strategy plays an instrumental role in linking the effects of knowledge workers, thereby leading to greater product development outcomes from different types of knowledge workers. Moreover, some suggest that beyond a certain point, there is a diminishing return to increasing the proportion of knowledge workers in an organisation; however, the basis of this finding is within larger firms. This study investigates whether high-level (e.g. engineers and scientists) and low-level (e.g. technicians and machine operators) knowledge workers exert varying effects on performance in terms of new and improved product development. Data from 205 small and medium-sized high-tech manufacturing firms provide support that distinguishing among types of knowledge workers is important given that they impact new and improved product development differently. Furthermore, innovation strategy plays a synergistic role, positively mediating the effects of different types of knowledge workers on innovation outcomes.     

Reaching Out and Reaching Within: A Study of the Relationship between Innovation Collaboration and Innovation Performance

A large body of research has thoroughly discussed and examined agglomeration advantages for innovation of geographically concentrated firms. However, there is an increasing awareness that this intellectual tradition tends to overemphasize the role of geographic proximity in the transfer of knowledge between firms and to under-theorize the contribution of nonlocal knowledge flows. With a sample of 143 manufacturing firms from Singapore, this research attempts to answer three interrelated questions: (1) Does local networking effort provide firms with added value above and beyond what is available to them by just “being there?” (2) Does local collaboration contribute more to innovation performance than nonlocal collaboration? (3) What is the joint impact of local and nonlocal collaborations on innovation performance? We find that while local and nonlocal collaborations are statistically indistinguishable from each other in terms of their relative importance, they represent complementary spurs to innovation. Despite the unique research setting of Singapore as a city state, we argue that our findings may be generalizable to geographic systems in other parts of the world.     

The Business Governance of Localized Knowledge: An Information Economics Approach for the Economics of Knowledge

Information economics provides important tools to articulate an economics analysis of the governance mechanisms for the generation and exploitation of localized technological knowledge. A variety of hybrid forms of knowledge governance ranging from coordinated transactions and constructed interactions to quasi-hierarchies can be found between the two unrealistic extremes of pure markets and pure organizations. The notion of localized technological knowledge as a highly heterogeneous dynamic process characterized by varying levels of appropriability, tacitness, unpredictability and indivisibility, which take the forms of complementarity and modularity, cumulability, compositeness, fungibility, helps to grasp the logic behind the variety of knowledge governance mechanisms at work. The analysis of transaction, agency and communication costs provides basic guidance to elaborate an integrated framework able to understand the matching between types of knowledge and modes and mechanisms of knowledge governance both in generation and exploitation.     

面向产品创新知识集成的模型及机制

构建了知识过程与产品创新过程相融合的知识集成模型,具体从知识活动、知识内容和知识主体的角度分析了知识集成的MSSI、SCEI和ITOI模型,分析了该模型的特点;讨论了产品创新知识集成机制.     

External Knowledge and Innovation Performance in Clusters: Empirical Evidence from the Uruguay Software Cluster

The importance of geographic proximity for innovation has been widely stressed in the cluster literature. Yet, new insights from the inter-organisational network and cluster literatures underline the role of non-local linkages in enabling firms in networks to enhance learning and to innovate. This paper contributes to this literature by examining the importance of local and non-local knowledge networks for the innovation performance of firms in clusters. Our analysis is based on primary data from a survey of 95 software firms clustered in Montevideo, Uruguay. The results highlight that the most innovative firms in clusters heavily rely on non-local knowledge networks. Moreover, the number of indirect local ties to other firms is a better predictor of innovative performance than the number of direct local ties. Finally, our findings confirm the presence of knowledge gatekeepers in clusters and emphasise their role in enhancing innovation in clusters by absorbing knowledge from extra-cluster sources and diffusing it to other local firms.     

Knowledge Composition and Its Influence on New Product Development Performance in the Big Data Environment

Product innovation is regarded as a primary means for enterprises to maintain their competitive advantage. Knowledge transfer is a major way that enterprises access knowledge from the external environment for new product innovation. Knowledge transfer may face the risk of infringement of the intellectual property rights of other enterprises and the termination of licensing agreements by the knowledge source. Enterprises must develop independent innovation knowledge at the same time they profit from knowledge transfers. Therefore, new product development by an enterprise usually consists of three types of new knowledge: big data knowledge transferred from big data knowledge providers, private knowledge transferred from other enterprises, and new knowledge developed independently by an enterprise in the big data environment. To find what the influences of different types of knowledge are on new product development (NPD) performance, a model is presented that maximizes the expected NPD performance. The results show that the greater the weight of independent innovation knowledge, the greater the performance of NPD. Enterprises tend to transfer knowledge from the external environment when the research and development (R&D) investment is much higher, and enterprises will speed up independent innovation when independent innovation knowledge is expected to bring a larger market share. The model can help enterprises to determine knowledge composition, the scale of R&D investment and predict the performance of NPD.     

基于知识重用的手机设计需求信息管理方法

 面向大批量定制的产品设计是一个跨领域、跨专业的协同设计过程,设计者不可能掌握所有领域的知识.要加快产品的开发速度,提高产品设计和创新能力,知识的快速获取和运用是关键.针对手机产品的设计特点,提出一种满足客户需求的知识重用设计体系,其包括可重用的设计知识、创新知识、产品建模和物料清单,并应用于集成设计信息CAD系统.为手机产品快速更新换代,功能越来越强大,而开发周期越来越短的矛盾提供了一种有效的解决方案.     

Innovation and international business

Abstract

While classical economic theories of growth emphasised international capital accumulation, and finance-based theories of foreign investment stressed international interest rate differentials and risk reduction, the technological accumulation approach examines international knowledge building by multinational enterprises and their international business (IB) networks. The two processes of innovation and internationalisation have become ever more interconnected as central drivers of development since the first industrial revolution, through to today’s information age. The increasing significance of the knowledge-seeking motive for IB networks and of competence-creating subsidiary activities at a local level have linked localised innovation systems to IB and to international knowledge exchange. From a locational perspective, international knowledge connectivity has become critical for sustained innovation and growth. The shift of techno-socio-economic paradigm in the information age is associated with a shift in the character of IB and innovation, with critical implications for IB theory and concepts.     

Knowledge dynamics as drivers of innovation in Haute Cuisine and culinary services

This paper analyses current innovation processes in Haute Cuisine and develops new insights into the nature of Haute Cuisine innovation and its institutional and organisational preconditions. The paper proposes an innovation paradigm that explains the roles of symbolic, synthetic and analytical knowledge during the various phases of innovation and challenges the innovation activity in Haute Cuisine as a linear model. It also explains the continuum between tacit and explicit knowledge throughout the innovation process. Symbolic knowledge has instilled Haute Cuisine and culinary tendencies, is a key element in its marketing and has allowed local cuisine to be branded internationally. The article aims to fill a research gap that has recently arisen on the existing tensions between idea creation and exploitation in Haute Cuisine innovation. The role of science appears as a tool that supports a chef’s creativity but does not substitute or drive it. This paper fulfills an identified need to study the innovation processes of Haute Cuisine to which academia has dedicated scarce attention. The paper analyses a case study, with a strong institutional focus, a complex and relevant example of the innovation tendencies in Haute Cuisine. It presents a rich case that comprises the complete process from the original inspiration to the final commercialisation.